A person sits down to follow the sensation of breathing. A sound outside draws attention. A thought about tomorrow follows. After some time, the person notices that the breath has disappeared from awareness and returns to it. From outside, this can look like sitting still. From inside, it contains several events: directing attention, losing it, detecting that loss and choosing what to do next. A research paper published in 2008 helped give those events a vocabulary that could be studied.
Antoine Lutz, Heleen Slagter, John Dunne and Richard Davidson’s “Attention regulation and monitoring in meditation” was a conceptual review in Trends in Cognitive Sciences. It proposed a distinction between focused-attention practice and open-monitoring practice, while drawing on contemplative descriptions and early cognitive neuroscience. The paper did not randomize a sample to meditation, establish a universal training dose or prove that practice improves every form of attention. Its contribution was to make different practices and candidate mental operations more explicit, giving later studies sharper questions to test.
The question the paper asked
By 2008, “meditation” was being used for a wide range of exercises. Some instructed practitioners to sustain attention on a chosen object. Others emphasized awareness of changing experiences without selecting a single object. If researchers treated these as identical, a result from one task could be misapplied to another. Lutz and colleagues asked how attention might be regulated and monitored within these different practices and how those processes might be measured.
Their account begins with focused attention, often abbreviated FA. A practitioner selects an object such as breathing sensations, tries to sustain attention there, detects distraction, disengages from it and returns. The authors associated these steps with attention regulation, monitoring of conflict or distraction, and the ability to reorient. They did not claim that these steps occur in a neat sequence every time or that a brain region uniquely represents each one. The diagram is a working model for research.
Open monitoring, or OM, is described differently. Attention is not held on one object in the same way. The practitioner cultivates awareness of experience as it arises, with less elaborative response to any one thought, sensation or emotion. The authors described how some training traditions develop monitoring after a period of focused attention. This is a description of practice families, not a rule that every school or practitioner follows the same progression.
The distinction matters because a study of breath-focused practice may test sustained attention or reorienting, while a study of open monitoring may emphasize awareness of changing stimuli and reduced capture by one item. These measures are not interchangeable. A person can improve on a laboratory task without showing the same change in a conversation, classroom or stressful workplace. The paper invited researchers to connect mechanisms to specific outcomes rather than use “mindfulness” as an all-purpose cause.
What kind of evidence was available in 2008?
Lutz and colleagues assembled theory, descriptions from contemplative traditions and empirical work then available. This makes their article a review and framework, not a single experiment with one sample and one result. They discussed findings on attentional blink, brain potentials and neural activity in experienced practitioners. The strongest claim the paper itself can support is that these lines of work made the FA/OM distinction scientifically useful and generated testable hypotheses. The degree to which either practice causes broad everyday benefits required further experiments.
One prominent study discussed around that period came from Slagter and colleagues in 2007. Participants in an intensive meditation retreat completed an attentional-blink task, in which two targets appear close together in a rapid visual stream. After training, the retreat group showed a smaller blink and altered brain-potential response to the first target compared with controls. The interpretation was that less attention may have been captured by the first target, leaving more available for the second. This is a specific behavioral and electrophysiological finding, not a demonstration of unlimited attention.
The retreat context is important. People who choose an intensive retreat may differ from a general population in motivation, prior practice and available time. Even with a comparison group and task measurements, a result from months of intensive practice cannot be assigned to a brief app exercise. The laboratory task also represents only one way of distributing attention in time. A smaller attentional blink does not automatically tell us how someone will handle interruptions at work or respond to a distressed friend.
The review also made room for a broader question: what does monitoring itself feel like and how could it be measured? A participant can report noticing mind wandering, but self-report depends on memory and interpretation. A task can record reaction time or an electrical signal, but neither is a direct readout of “mindfulness.” The challenge is to match the subjective description, the practice instruction and the behavioral measure without pretending they are the same thing.
Later tests sharpened the picture
After the 2008 paper, Lutz and colleagues studied focused-attention training with neural and behavioral measures of attentional stability. Their 2009 experiment used a dichotic listening task and compared training-related changes. Its findings were consistent with improved stability in that task, along with changes in brain responses to attended and unattended sounds. These observations support the idea that attention training can affect specific processing patterns. They do not reveal a general “attention muscle” whose strength can be read from one recording.
MacLean and colleagues in 2010 examined intensive meditation training and visual discrimination. They reported improvements in perceptual sensitivity and vigilance during a sustained-attention task. Because practice targeted internal experiences rather than the test’s visual displays, the result is relevant to transfer beyond the exact trained stimulus. Yet it remains a transfer to a laboratory task under an intensive training schedule. It does not prove transfer to academic achievement or occupational safety without additional evidence.
A later meta-analysis of 111 randomized mindfulness-training trials reported small to moderate improvements across several cognitive outcomes, with effect estimates depending on comparison conditions and measures. Randomization is a stronger design for testing intervention effects than retrospective comparison of experienced meditators. A pooled effect, however, averages programs that differ in duration, instructions, samples and controls. It cannot tell an individual which practice to choose or guarantee that every attention measure will change.
Cásedas and colleagues’ 2024 integrative framework revisited the mechanisms of mindfulness-related cognitive change. It emphasized that evidence for cognitive effects does not mean the pathways are fully characterized. This later work is helpful when reading Lutz et al. historically: the 2008 paper offered a language and research agenda, while subsequent studies have complicated the relationship between specific exercises, measured attention and broader cognition. A framework can become more useful as its limitations become clearer.
Focused attention is not just concentration
The breathing example is easy to misread as a test of how long a person can keep a mind perfectly still. In the Lutz model, noticing distraction and returning are part of the practice, not evidence that it has failed. This makes the task qualitatively different from merely trying to suppress thoughts. A practitioner may learn to detect drift earlier, disengage with less struggle or select a new response after noticing it. These are hypotheses about processes; the 2008 paper did not establish a single metric that captures them all.
Instructions also shape what is trained. Holding a narrow focus on a visual point, listening to a sound and attending to the breath may recruit overlapping but not identical operations. The sensation of breathing varies with posture, health and context. A person with trauma-related symptoms or respiratory distress may not experience breath focus as a neutral task. A careful instructor should be able to offer alternatives and avoid presenting one method as obligatory. That practical caution is an Institute application, not a direct outcome demonstrated by Lutz et al.
Open monitoring can be misread in the opposite direction, as passive attention to everything. The 2008 account describes a cultivated stance toward experience, including noticing without immediately elaborating or reacting. The absence of a selected focal object does not mean the practitioner has no intention. It means the intention differs. Research needs to test whether a measure of flexibility, awareness or reduced attentional capture actually matches the version of OM taught in a study.
Where measurement can mislead
Suppose a trial reports faster responses after meditation training. That is a real task outcome if measured well, but faster is not always better. Accuracy may fall, and a different task may reward restraint rather than speed. A neural signal may correlate with task performance yet reflect several possible processes. A self-report scale may capture a participant’s changed vocabulary about attention rather than a changed attentional capacity. The design should report these measures separately.
Expectation effects are another concern. People who believe meditation should help attention may work harder at a post-training test. Active comparison groups can reduce, though not eliminate, this problem by giving participants another credible activity. Instructor contact, group support and practice time can also contribute. A study that compares a rich course with a waitlist cannot isolate the effect of the meditation technique itself.
Baseline differences deserve attention as well. Experienced practitioners may already be unusual in how they schedule their lives, tolerate repetition or interpret internal experiences. Cross-sectional comparisons cannot tell whether practice produced those differences or people with those characteristics were more likely to continue. Random assignment to a new course can answer a narrower causal question about that course, but it cannot recreate decades of practice. The two designs contribute different evidence and should not be treated as interchangeable.
Researchers also need to report what participants actually practiced. Minutes assigned are not minutes completed, and a course label does not specify whether attention was focused, open, compassionate, movement based or mixed. A participant may use techniques learned elsewhere. Without practice logs and clear instructions, an observed change cannot be tied confidently to FA or OM. Even with those records, self-reported practice can be imprecise and does not show the quality of attention during each minute.
Transfer needs its own test. Training attention during quiet practice is one context. Sustaining a safe decision during noise, fatigue and emotional pressure is another. Claims that meditation improves executive function, emotion regulation or relationships should specify the outcome and the evidence linking practice to it. The 2008 review’s conceptual distinction helps ask those questions, but it cannot answer them by itself.
For this reason, a program should choose outcomes before participants begin rather than celebrate whichever test improves afterward. It might assess the ability to notice wandering during practice, performance on an independent attention task and a practical outcome that matters to participants. Those outcomes may disagree. A learner might report easier reorienting yet show no change on a vigilance task; another might improve a task without feeling calmer. A scientifically honest interpretation keeps each result in its own lane.
What the evidence does not show
Lutz et al. 2008 did not conduct a definitive trial of FA versus OM and did not establish that meditation changes a particular brain circuit for all practitioners. Its neurocognitive model is a proposal informed by the evidence available then. The later retreat studies support selected task effects under selected conditions, not a guarantee of broad life improvement. The randomized-trial meta-analysis offers more general intervention evidence, but heterogeneity and measurement choices limit any one universal claim.
None of the cited studies shows that a person who struggles to focus is morally deficient or simply needs more practice. Attention depends on sleep, health, environment, safety and social demands. Meditation may be useful for some people and unsuitable or insufficient for others. Nor does the literature establish that every spontaneous thought is a problem to eliminate. Mind wandering can be relevant to planning and creativity; its value depends on task and context.
The evidence also does not settle the meaning of contemplative practice outside a laboratory. FA and OM are research categories that simplify diverse traditions. A measured attentional change should not be presented as the entire value of a practice, and a tradition’s account of experience should not be presented as if it were a controlled experimental result.
What changed because of this paper?
The lasting contribution of Lutz and colleagues was to replace one vague question, “Does meditation improve attention?”, with more precise ones. Which practice was taught? What does the person do when attention wanders? Is the target sustained focus, detection of distraction, disengagement, reorienting or broad monitoring? Which behavioral and neural measures could distinguish those possibilities? The paper’s model made subsequent disagreement and refinement possible because it gave researchers something specific to test.
It also offered a way to discuss training without treating attention as an all-or-nothing possession. The person at the beginning of this brief may return to the breath many times in a few minutes. Counting each return as a failure would erase the operation the practice is designed to cultivate. Counting it as proof of broad cognitive change would go too far in the other direction. A good research question asks whether that operation becomes more reliable, in which context and with what consequences beyond the exercise.
For an Inner Technology practice, the useful translation is modest. If the purpose is to notice distraction and return, explain that task honestly and make the practice accessible. If the intended benefit is performance beyond the exercise, measure that benefit rather than infer it from attendance or a calm appearance. Research can inform a good question and a careful design. It cannot turn one person’s quiet sitting into proof of a universal transformation.
Research references
- Lutz, A., Slagter, H. A., Dunne, J. D., & Davidson, R. J. (2008). Attention regulation and monitoring in meditation. Trends in Cognitive Sciences, 12(4), 163–169. View source
- Slagter, H. A., Lutz, A., Greischar, L. L., et al. (2007). Mental training affects distribution of limited brain resources. PLoS Biology, 5(6), e138. View source
- Lutz, A., Slagter, H. A., Rawlings, N. B., Francis, A. D., Greischar, L. L., & Davidson, R. J. (2009). Mental training enhances attentional stability: Neural and behavioral evidence. Journal of Neuroscience, 29(42), 13418–13427. View source
- MacLean, K. A., Ferrer, E., Aichele, S. R., et al. (2010). Intensive meditation training improves perceptual discrimination and sustained attention. Psychological Science, 21(6), 829–839. View source
- Zainal, N. H., & Newman, M. G. (2024). Mindfulness enhances cognitive functioning: A meta-analysis of 111 randomized controlled trials. Health Psychology Review, 18(2), 369–395. View source
- Cásedas, L., Schooler, J. W., Vadillo, M. A., & Lupiáñez, J. (2024). An integrative framework for the mechanisms underlying mindfulness-induced cognitive change. Nature Reviews Psychology, 3, 821–834. View source